Table_6_The in vivo dsRNA Cleavage Has Sequence Preference in Insects.pdf by Ruobing Guan (6063893)

“…We injected 0.04 mg/g dsRNA into Asian corn borers or cotton bollworms according to their body weight, and then the siRNAs produced in vivo were analyzed by RNA-Seq. We discovered that a large number of siRNAs were produced with GGU nucleotide residues at the 5′- and 3′-ends and produced a siRNA peak on the sequence. …”

Expression of TNF receptor type 2 in adrenal gland from <i>T. cruzi-</i> infected mice. by Silvina R. Villar (585638)

“…Confocal microscopy shows a decreased in TNF-R2 contents in cortex of the adrenal gland in Tc-WT and Tc-TNF-R1^−/− (more pronounced in Tc-TNF-R1^−/− group) after 17 days of infection. …”

Exogenous infusion of BDNF protein into the IL of PCOC mice normalizes the deficit in recall of an extinguished cue-conditioned fear. by Zeeba D. Kabir (498671)

“…<p>(<b>a</b>) Overview of the experimental paradigm. Guide cannulae, targeting the infralimbic subdivision of the mPFC bilaterally were surgically implanted into the mice after which they were allowed to recover for 5-7 days before behavioral testing. …”

Role of Mixed Boundaries on Flow in Open Capillary Channels with Curved Air–Water Interfaces by Wenjuan Zheng (2049133)

“…In this work, we visualized liquid transport patterns in open capillary channels with a range of opening sizes from 0.6 to 5.0 mm using laser scanning confocal microscopy combined with fluorescent latex particles (1.0 μm) as tracers at a mean velocity of ∼0.50 mm s^–1. …”

Unscreened Water-Diversion Pipes Pose an Entrainment Risk to the Threatened Green Sturgeon, <i>Acipenser medirostris</i> by Timothy D. Mussen (509438)

“…We examined avoidance behaviors and entrainment susceptibility of juvenile green sturgeon (35±0.6 cm mean fork length) to entrainment in a large (>500-kl) outdoor flume with a 0.46-m-diameter water-diversion pipe. …”

EFFECT OF SIZE OF INTESTINAL DIVERSIONS IN OBESE PATIENTS WITH METABOLIC SYNDROME SUBMITTED TO GASTRIC BYPASS by Rafael Jacques RAMOS (6378467)

“…In 24 months, there was a remission of systemic arterial hypertension in 65% of patients in group 1, 62.5% in group 2 and 68.4% in group 3. …”

Transport of L- and D-BMAA in differentiated mammary gland HC11 cells. by Marie Andersson (475632)

“…<b>E</b> Efflux of 1 µM [¹⁴C]L-BMAA up to 80 min from cultured preloaded mammary gland cells. A time-dependent efflux is illustrated by decreasing concentrations in the cells and increasing concentrations in the cell medium. …”

Evaluation of visual function and vision-related quality of life in patients with senile cataract by Nathalia Braga Pereira (12658556)

“…For statistical analysis, Pearson's correlation coefficient and hypothesis testing were applied, in which the test statistic follows a Student's t distribution, with 5% significance level (p < 0,05). …”

Table_1_Peripheral Blood Biomarkers for Early Diagnosis, Severity, and Prognosis of Checkpoint Inhibitor-Related Pneumonitis in Patients With Lung Cancer.docx by Xinqing Lin (9659243)

“…Background<p>Checkpoint inhibitor-related pneumonitis (CIP) is a potentially fatal immune-related adverse event that occurs during treatment with immune checkpoint inhibitors (ICIs). …”

Image_6_Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019.tif by Yaguang Fan (15415049)

“…Decomposition analysis was used to analyze the contributions of epidemiological and demographic drivers to lung cancer mortality.</p>Results<p>Despite a non-significant decrease in ASMR [EAPC = −0.31, 95% confidence interval (CI): −1.1 to 0.49], the number of deaths from lung cancer increased by 91.8% [95% uncertainty interval (UI): 74.5–109.0%] between 1990 and 2019. …”

DataSheet_1_Peripheral Blood Biomarkers for Early Diagnosis, Severity, and Prognosis of Checkpoint Inhibitor-Related Pneumonitis in Patients With Lung Cancer.xlsx by Xinqing Lin (9659243)

“…Background<p>Checkpoint inhibitor-related pneumonitis (CIP) is a potentially fatal immune-related adverse event that occurs during treatment with immune checkpoint inhibitors (ICIs). …”

Table_1_Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019.doc by Yaguang Fan (15415049)

“…Decomposition analysis was used to analyze the contributions of epidemiological and demographic drivers to lung cancer mortality.</p>Results<p>Despite a non-significant decrease in ASMR [EAPC = −0.31, 95% confidence interval (CI): −1.1 to 0.49], the number of deaths from lung cancer increased by 91.8% [95% uncertainty interval (UI): 74.5–109.0%] between 1990 and 2019. …”

Image_3_Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019.tif by Yaguang Fan (15415049)

“…Decomposition analysis was used to analyze the contributions of epidemiological and demographic drivers to lung cancer mortality.</p>Results<p>Despite a non-significant decrease in ASMR [EAPC = −0.31, 95% confidence interval (CI): −1.1 to 0.49], the number of deaths from lung cancer increased by 91.8% [95% uncertainty interval (UI): 74.5–109.0%] between 1990 and 2019. …”

Data_Sheet_1_Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019.docx by Yaguang Fan (15415049)

“…Decomposition analysis was used to analyze the contributions of epidemiological and demographic drivers to lung cancer mortality.</p>Results<p>Despite a non-significant decrease in ASMR [EAPC = −0.31, 95% confidence interval (CI): −1.1 to 0.49], the number of deaths from lung cancer increased by 91.8% [95% uncertainty interval (UI): 74.5–109.0%] between 1990 and 2019. …”

Image_4_Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019.tif by Yaguang Fan (15415049)

“…Decomposition analysis was used to analyze the contributions of epidemiological and demographic drivers to lung cancer mortality.</p>Results<p>Despite a non-significant decrease in ASMR [EAPC = −0.31, 95% confidence interval (CI): −1.1 to 0.49], the number of deaths from lung cancer increased by 91.8% [95% uncertainty interval (UI): 74.5–109.0%] between 1990 and 2019. …”

Image_2_Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019.tif by Yaguang Fan (15415049)

“…Decomposition analysis was used to analyze the contributions of epidemiological and demographic drivers to lung cancer mortality.</p>Results<p>Despite a non-significant decrease in ASMR [EAPC = −0.31, 95% confidence interval (CI): −1.1 to 0.49], the number of deaths from lung cancer increased by 91.8% [95% uncertainty interval (UI): 74.5–109.0%] between 1990 and 2019. …”

Image_1_Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019.tif by Yaguang Fan (15415049)

“…Decomposition analysis was used to analyze the contributions of epidemiological and demographic drivers to lung cancer mortality.</p>Results<p>Despite a non-significant decrease in ASMR [EAPC = −0.31, 95% confidence interval (CI): −1.1 to 0.49], the number of deaths from lung cancer increased by 91.8% [95% uncertainty interval (UI): 74.5–109.0%] between 1990 and 2019. …”

Difference and Equilibrium spectra and modelling of the putative R and M absorption spectra. by Ludovic S. Mure (262696)

“…Consistent with typical difference spectra of invertebrates, the response function (5-degree polynomial, R² = 0.91) shows two domains: a decrease in the response between 400–515 nm (min = 466 nm) and an increase in constriction for longer wavelengths (515–650 nm, max = 592 nm). …”

Effects of JNK3-N-Tat on the downstream effectors of JNK3 in PD models. by Jing Pan (95938)

“…<p>(A) Western blotting analysis of p-c-Jun, T-c-Jun and cytochrome c in SH-SY5Y cell extracts after treatment. …”

Advanced assessment of ductile fracture in steel by X-ray computed tomography by Fabien Léonard (463224)